• DocumentCode
    1480668
  • Title

    Integrated Use of Time-Frequency Wavelet Decompositions for Fault Location in Distribution Networks: Theory and Experimental Validation

  • Author

    Borghetti, A. ; Bosetti, M. ; Nucci, C.A. ; Paolone, M. ; Abur, A.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Bologna, Bologna, Italy
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    3139
  • Lastpage
    3146
  • Abstract
    The paper presents a procedure for fault location in distribution networks, based on the use of the integrated time-frequency wavelet decompositions of the voltage transients associated with the fault-originated travelling waves. The proposed analysis of time-frequency wavelet decompositions has been found to improve the identification accuracy of the frequencies associated to the characteristic patterns of a fault location with respect to a sole frequency-domain wavelet analysis. Several laboratory fault tests, carried out by means of a reduced-scale model of a distribution feeder, are used to illustrate the characteristics and assess the performances of the proposed improved procedure. The paper also illustrates the application of the proposed procedure to a transient, originated by a permanent phase-to-phase fault, measured in a real distribution network in which a post-test analysis has identified the faulted branch.
  • Keywords
    distribution networks; fault location; time-frequency analysis; wavelet transforms; distribution networks; fault location; fault-originated travelling waves; frequency-domain wavelet analysis; integrated time-frequency wavelet decompositions; Fault diagnosis; Fault location; Frequency domain analysis; Laboratories; Pattern analysis; Performance evaluation; Testing; Time frequency analysis; Voltage; Wavelet analysis; Continuous wavelet transform; distribution networks; fault location; fault transients; power quality;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2046655
  • Filename
    5456138